After generations of exploitation, Indigenous people often respond negatively to the idea that
their languages are data ready for the taking. By treating Indigenous knowledge as a …

We present a recurrent encoder-decoder deep neural network architecture that directly
translates speech in one language into text in another. The model does not explicitly …

We present ESPnet-ST, which is designed for the quick development of speech-to-speech
translation systems in a single framework. ESPnet-ST is a new project inside end-to-end …

We explore multitask models for neural translation of speech, augmenting them in order to
reflect two intuitive notions. First, we introduce a model where the second task decoder …

For many low-resource languages, spoken language resources are more likely to be
annotated with translations than transcriptions. This bilingual speech data can be used for …

How do we roll out language technologies across a world with 7,000 languages? In one
story, we scale the successes of NLP further into'low-resource'languages, doing ever more …

We introduce 9 guiding principles 1 to integrate Participatory Design (PD) methods in the
development of Natural Language Processing (NLP) systems. The adoption of PD methods …

This paper reports on our ongoing efforts to collect speech data in under-resourced or
endangered languages of Africa. Data collection is carried out using an improved version of …

Abstract Interlinear Glossed Text (IGT) is a widely used format for encoding linguistic
information in language documentation projects and scholarly papers. Manual production of …

Human existence is accompanied by environmental sounds as by-products of people's
activities and sounds that are intentionally generated to allow human society to function. The …